FreshRemote.Work

Principal Software Architect - AI Technology

Work from Home, United States

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity
 

“We are seeking a highly skilled Principal Software Architect specializing in AI Technology to lead the design, architecture, and development of cutting-edge AI systems. The ideal candidate will drive innovation in machine learning, deep learning, natural language processing, and AI infrastructure at an enterprise scale. You will work collaboratively with cross-functional teams to create highly scalable, reliable, and efficient AI solutions that integrate seamlessly with our FICO Platform ecosystem.” – Technical Architecture-Sr Director


What You’ll Contribute 

  • Design and oversee the architecture for large-scale AI/ML platform services, ensuring scalability, performance and security.
  • Stay at the forefront of AI trends, ensuring that our products remain competitive and that our AI strategy is aligned with FICO’s software business goals.
  • Provide thought leadership on AI technology, advising on best practices, emerging trends, and new tools to improve our AI capabilities.
  • Work closely with product managers, data scientists, engineers and other stakeholders to translate business objectives into technical AI solutions.
  • Define the architectural standards and best practices for AI model training, deployment and management, ensuring efficient resource utilization.
  • Mentor engineering teams in AI/ML architecture, software design patterns and implementation strategies.
  • Assess and recommend new tools, libraries, and frameworks that can enhance the development of AI solutions.
  • Identify and mitigate technical risks related to AI implementation, scalability, data privacy and model bias.
  • Ensure that AI models and systems are optimized for real-time performance and efficient resource consumption.

What We’re Seeking 

  • 10 - 14 years of experience in software architecture, with 5 - 8 years focused on AI/ML technologies.
  • Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or related field.
  • Strong experience with machine learning frameworks (TensorFlow, PyTorch, etc.) and deep learning techniques.
  • Expertise in AI model deployment and orchestration on cloud platforms (AWS, Azure, GCP).
  • Proficiency in programming languages like Python, Java, C++, Golang and familiarity with distributed computing frameworks.
  • Solid understanding of data architecture, including data lakes, data pipelines and databases.
  • Understanding of Large Language Model deployments, Vector databases and Agent principles.
  • Experienced in Kubernetes and GPU architectures.
  • Ability to solve complex problems using a data-driven approach, including experience with algorithms, statistics and optimization techniques.
  • Proven experience in leading and mentoring engineering teams, driving technical discussions and fostering innovation.
  • Excellent verbal and written communication skills, with the ability to articulate complex AI concepts to non-technical stakeholders.
  • Experience with edge AI, reinforcement learning and AI ethics is nice to have.
  • Preferred background in industries leveraging AI at scale, such as healthcare, finance or autonomous systems.
  • Published research or contributions to open-source AI projects is advantageous.

Our Offer to You

  • An inclusive culture strongly reflecting our core values:  Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
  • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
  • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
  • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
  • The targeted base pay range for this role is: $147,000 to $231,000 with this range reflecting differences in candidate knowledge, skills and experience.

#LI-CG2

#LI-REMOTE

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.


FICO makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

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Job Profile

Regions

North America

Countries

United States

Restrictions

Work from Home

Benefits/Perks

An inclusive culture Benefits and rewards programs Career potential Competitive compensation Employee Resource Groups Inclusive culture People-first work environment Professional development Rewards programs Social Events Valuable learning experiences Work From Home

Tasks
  • Assess new tools and frameworks
  • Deployment
  • Design
  • Design architecture for AI/ML platforms
  • Development
  • Drive AI innovation
  • Mentor engineering teams
  • Mitigate technical risks
  • Support
  • Thought leadership
Skills

AI AI Ethics Ai infrastructure AI/ML Algorithms Analytics Artificial Intelligence AWS Azure Big data analytics C C++ Cloud Collaboration Communication Computer Science Data Architecture Databases Data Lakes Data Pipelines Deep Learning Design Distributed computing Edge AI GCP Golang GPU Architectures Java Kubernetes Machine Learning Mentoring ML Natural Language Processing Optimization Optimization techniques Orchestration Programming Python PyTorch Reinforcement Learning Security Software architecture Statistics Teams Technical Technical architecture TensorFlow Thought Leadership Training

Experience

10 years

Education

Artificial Intelligence Bachelor's Business Computer Science Engineering Finance Master's Related Field Statistics Technology

Certifications

C

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9